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CLUSTER PHOTOGRAPHERS-CLIENT-PROOFING · 3 ENTRIES · EARLIEST ENTRY 2026-05-11

Photography client proofing platforms

This cluster comprises web apps that let photographers share session proofs with clients, gather comments and approvals, and in some cases collect payments. The dated history is too thin to read a shape from, as only one dated entry exists before the index began. Album-approve shows the strongest traction signal with 1 star, while headshots and photographer-proof-hub show none.

Entry timeline

ENTRY TIMELINE

MAY 2026: 1AUG 2026: 2
MAY 2026AUG 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 1 hand-coded · 2 unlabelled

Operator · 1 indie · 1 commercial · 1 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 3 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01album-approve1★12 dayslivehand-codedindieWedding album proofing app that lets photographers upload spreads, share private client proofs, collect comments, and capture approvals.
  2. 02photographer-proof-hub0★1 mo—Web platform where photographers upload session proofs for clients to review, select, and approve online.
  3. 03proof-it0★unknownlivecommercialDigital proofing tool that lets photographers create shareable proof books as PDFs to showcase client session photos and increase sales.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.